class_docstr: Test for CombinedNMS op in TF-TRT.
code: def GetParams(self):
      # Parameters
      q = 1
      batch_size = 2
      num_classes = 2
      max_total_size = 3
  
      boxes_shape = [batch_size, self.num_boxes, q, 4]
      scores_shape = [batch_size, self.num_boxes, num_classes]
      nmsed_boxes_shape = [batch_size, max_total_size, 4]
      nmsed_scores_shape = [batch_size, max_total_size]
      nmsed_classes_shape = [batch_size, max_total_size]
      valid_detections_shape = [batch_size]
      return self.BuildParams(
          self.GraphFn,
          dtypes.float32,
          [boxes_shape, scores_shape],
          [
              nmsed_boxes_shape,
              nmsed_scores_shape,
              nmsed_classes_shape,
              valid_detections_shape,
          ],
      )
  
imports: import os
  from tensorflow.python.compiler.tensorrt import utils
  from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import image_ops_impl
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the CombinedNmsTest obj's underlying member method code with example usage: obj.GetParams() and returns: self